Top DevOps Jobs in Dublin

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Lead the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL/ELT, streaming, and lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, security, observability, and operational standards. Provide technical leadership, mentor engineers, influence architecture and roadmaps, optimize workloads, and collaborate across product, risk, analytics, architecture, and business teams.

Leads the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based ETL/ELT, lakehouse, streaming, governance, and data quality solutions; modernizes legacy assets; optimizes processing; and establishes engineering standards, testing, deployment, and operational practices. Partners across risk, product, architecture, and engineering, influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes governance, quality, lineage, observability, security, and compliance controls; optimizes large-scale workloads; and drives technical standards, cross-functional delivery, mentoring, and strategic roadmap planning.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes data quality, governance, lineage, observability, and security controls; modernizes legacy systems; optimizes large-scale processing; and mentors engineers while influencing cross-functional technical strategy.

Lead the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL and ELT solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, observability, security, and compliance controls. Drive modernization, performance optimization, technical standards, cross-functional delivery, architectural decisions, mentoring, talent assessment, and strategic roadmap planning.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Builds scalable cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, SQL, and Python. Establishes data quality, governance, lineage, security, monitoring, and operational excellence practices. Partners across risk, product, architecture, and engineering; influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes data quality, governance, lineage, security, monitoring, and operational standards; modernizes legacy systems; optimizes large-scale processing; influences technical strategy; mentors engineers; and partners with cross-functional stakeholders to deliver resilient, compliant data products.

Designs, implements, and manages Azure database solutions, optimizing performance, scalability, reliability, backup, recovery, and disaster recovery. Troubleshoots database issues, automates deployments using Terraform or Bicep, supports data modeling and query optimization, and ensures data security and compliance. The role also involves monitoring, documentation, collaboration with development teams, and knowledge sharing.

Designs, implements, and optimizes Azure database solutions across SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Manages performance, scalability, high availability, backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments using Terraform or Bicep, supports data modeling and query optimization, and ensures security, privacy, and compliance. Collaborates with development teams, maintains documentation, and shares technical knowledge.

Designs, implements, and optimizes Azure database platforms using Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Manages performance, scalability, reliability, backups, disaster recovery, monitoring, troubleshooting, and data integrity. Automates deployments with Terraform or Bicep, supports data modeling and query optimization, and ensures security, privacy, and compliance. Collaborates with development teams, maintains documentation, and shares technical knowledge.

Designs, implements, and manages Azure database solutions across SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Responsibilities include performance tuning, scalability, reliability, backup and disaster recovery, monitoring, troubleshooting, Infrastructure as Code automation, data modeling support, security compliance, documentation, and knowledge sharing. The role also collaborates with development teams on database deployments and query optimization.

Designs, implements, and operates Azure database solutions across SQL, NoSQL, PostgreSQL, caching, and data integration services. Optimizes performance, scalability, reliability, and queries; manages backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments with Terraform or Bicep, supports data modeling and schema design, and ensures security, governance, privacy, and compliance. The role also documents solutions, collaborates with development teams, and shares technical knowledge.

Designs, implements, and manages Azure database platforms, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Optimizes performance, scalability, reliability, and query execution; manages backup and disaster recovery; monitors and troubleshoots database systems; automates deployments with Terraform or Bicep; supports data modeling and schema design; and ensures security, privacy, compliance, documentation, and knowledge sharing.

Designs, implements, and manages Azure database platforms, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Responsibilities include performance tuning, high availability, backup and disaster recovery, monitoring, troubleshooting, Infrastructure as Code automation, database deployment, security compliance, data modeling support, documentation, and cross-team knowledge sharing.

Designs, implements, and supports Azure database solutions across SQL, NoSQL, PostgreSQL, caching, and data integration services. Responsibilities include performance tuning, scalability, backup and disaster recovery, monitoring, troubleshooting, automation through Terraform or Bicep, data modeling support, security and compliance, documentation, and cross-team knowledge sharing.

Designs, implements, and manages Azure database solutions, optimizing performance, scalability, reliability, security, and availability. Responsibilities include backup and disaster recovery, monitoring and troubleshooting, infrastructure-as-code automation, database deployments, schema and query optimization, compliance, documentation, and cross-team knowledge sharing. The role supports Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory environments while partnering with development and DevOps teams.

Designs, implements, and manages Azure database solutions, including Azure SQL, Cosmos DB, PostgreSQL, Redis, and Data Factory. Optimizes performance, scalability, reliability, and query execution; manages backup, recovery, disaster recovery, monitoring, and troubleshooting. Automates database deployments with Terraform or Bicep, supports data modeling and schema design, and ensures security, privacy, governance, and compliance. Collaborates with development teams and shares technical knowledge.

Provides strategic and technical leadership for a large-scale software engineering organization. Leads enterprise software, cloud-native architecture, AI-powered solutions, engineering standards, DevOps, CI/CD, and responsible AI adoption. Guides multidisciplinary engineering leaders, mentors senior technical staff, evaluates emerging technologies, and partners with product and business stakeholders to deliver scalable healthcare technology solutions.

Designs and supports cloud-native infrastructure, automation, landing zones, networking, and security infrastructure for AWS regions. Builds infrastructure-as-code modules, CI/CD tools, developer platforms, and migration tooling. Maintains highly available production and nonproduction environments, promotes DevOps practices and code quality, and mentors developers on infrastructure tooling and support systems.

Build and architect scalable cloud and on-premises monitoring solutions across infrastructure, APM, and logs. Develop custom automation scripts, create testable configuration patterns, and advise clients on observability, SRE, and DevOps best practices. The role involves working across diverse client environments, managing multiple projects, exploring AI applications in observability, and accommodating US working hours and customer onsite engagements as needed.

Build and maintain scalable Snowflake data pipelines using SQL, Python, and Snowpark. Develop tasks, streams, stored procedures, and data-sharing solutions; analyze complex datasets and resolve quality issues. Collaborate through GitHub, apply DevOps practices, support secure data delivery, and advise stakeholders while ensuring reliable, compliant, high-quality outcomes.

Build, operate, and evolve Workday’s high-scale distributed monitoring and alerting platform. Responsibilities include improving ingestion resilience, performance, API security, compliance, and cost management; leading designs and root-cause analyses; supporting CI/CD, automation, on-call, and incident response; and mentoring engineers. The role requires expertise in distributed systems, observability, high availability, large-scale data processing, API development, testing, security, technical documentation, and collaborative software development.

Build and maintain scalable Snowflake data pipelines using SQL, Python, and Snowpark. Develop tasks, streams, stored procedures, and secure data-sharing workflows; analyze complex datasets and resolve data-quality issues. Manage code with GitHub and apply DevOps practices to improve deployment and reliability. Collaborate with technology teams, advise stakeholders, assess risks, and independently deliver high-quality data solutions within established timelines.